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  1. Windows PowerShell
  2. (C) Корпорация Майкрософт (Microsoft Corporation). Все права защищены.
  3.  
  4. Попробуйте новую кроссплатформенную оболочку PowerShell (https://aka.ms/pscore6)
  5.  
  6. PS C:\WINDOWS\system32> pip freeze > uninstall.txt
  7. PS C:\WINDOWS\system32> pip uninstall -y -r uninstall.txt
  8. ERROR: You must give at least one requirement to uninstall (see "pip help uninstall")
  9. PS C:\WINDOWS\system32> cd C:\Users\valen\Desktop\sd-scripts-main\sd-scripts
  10. PS C:\Users\valen\Desktop\sd-scripts-main\sd-scripts> cd
  11. PS C:\Users\valen\Desktop\sd-scripts-main\sd-scripts> cd C:\Users\valen\Desktop\sd-scripts-main
  12. PS C:\Users\valen\Desktop\sd-scripts-main> git clone https://github.com/bmaltais/kohya_ss.git
  13. Cloning into 'kohya_ss'...
  14. remote: Enumerating objects: 814, done.
  15. remote: Counting objects: 100% (407/407), done.
  16. remote: Compressing objects: 100% (184/184), done.
  17. remote: Total 814 (delta 284), reused 325 (delta 219), pack-reused 407
  18. Receiving objects: 100% (814/814), 2.45 MiB | 2.72 MiB/s, done.
  19. Resolving deltas: 100% (473/473), done.
  20. PS C:\Users\valen\Desktop\sd-scripts-main> cd kohya_ss
  21. PS C:\Users\valen\Desktop\sd-scripts-main\kohya_ss> python -m venv --system-site-packages venv
  22. PS C:\Users\valen\Desktop\sd-scripts-main\kohya_ss> .\venv\Scripts\activate
  23. (venv) PS C:\Users\valen\Desktop\sd-scripts-main\kohya_ss> pip install torch==1.12.1+cu116 torchvision==0.13.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116
  24. Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu116
  25. Collecting torch==1.12.1+cu116
  26. Using cached https://download.pytorch.org/whl/cu116/torch-1.12.1%2Bcu116-cp38-cp38-win_amd64.whl
  27. Collecting torchvision==0.13.1+cu116
  28. Using cached https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp38-cp38-win_amd64.whl
  29. Collecting typing-extensions (from torch==1.12.1+cu116)
  30. Using cached https://files.pythonhosted.org/packages/0b/8e/f1a0a5a76cfef77e1eb6004cb49e5f8d72634da638420b9ea492ce8305e8/typing_extensions-4.4.0-py3-none-any.whl
  31. Collecting numpy (from torchvision==0.13.1+cu116)
  32. Using cached https://files.pythonhosted.org/packages/0b/73/7db81acb8b9b2dfa24ca51de6b84db878fd216865b7acb75f27e79105680/numpy-1.24.1-cp38-cp38-win_amd64.whl
  33. Collecting requests (from torchvision==0.13.1+cu116)
  34. Using cached https://files.pythonhosted.org/packages/d2/f4/274d1dbe96b41cf4e0efb70cbced278ffd61b5c7bb70338b62af94ccb25b/requests-2.28.2-py3-none-any.whl
  35. Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.13.1+cu116)
  36. Using cached https://files.pythonhosted.org/packages/8c/a3/f096c4199c0af6d205a9cf1f3440581614016d9cfcab3a4091ecd5d1e26b/Pillow-9.4.0-cp38-cp38-win_amd64.whl
  37. Collecting charset-normalizer<4,>=2 (from requests->torchvision==0.13.1+cu116)
  38. Using cached https://files.pythonhosted.org/packages/87/5d/0ebaee2249a04fd20bb4baeb9ea2c29dee17317175d9d67b4f5f34cf048d/charset_normalizer-3.0.1-cp38-cp38-win_amd64.whl
  39. Collecting urllib3<1.27,>=1.21.1 (from requests->torchvision==0.13.1+cu116)
  40. Using cached https://files.pythonhosted.org/packages/fe/ca/466766e20b767ddb9b951202542310cba37ea5f2d792dae7589f1741af58/urllib3-1.26.14-py2.py3-none-any.whl
  41. Collecting certifi>=2017.4.17 (from requests->torchvision==0.13.1+cu116)
  42. Using cached https://files.pythonhosted.org/packages/71/4c/3db2b8021bd6f2f0ceb0e088d6b2d49147671f25832fb17970e9b583d742/certifi-2022.12.7-py3-none-any.whl
  43. Collecting idna<4,>=2.5 (from requests->torchvision==0.13.1+cu116)
  44. Using cached https://files.pythonhosted.org/packages/fc/34/3030de6f1370931b9dbb4dad48f6ab1015ab1d32447850b9fc94e60097be/idna-3.4-py3-none-any.whl
  45. Installing collected packages: typing-extensions, torch, numpy, charset-normalizer, urllib3, certifi, idna, requests, pillow, torchvision
  46. Successfully installed certifi-2022.12.7 charset-normalizer-3.0.1 idna-3.4 numpy-1.24.1 pillow-9.4.0 requests-2.28.2 torch-1.12.1+cu116 torchvision-0.13.1+cu116 typing-extensions-4.4.0 urllib3-1.26.14
  47. WARNING: You are using pip version 19.2.3, however version 22.3.1 is available.
  48. You should consider upgrading via the 'python -m pip install --upgrade pip' command.
  49. (venv) PS C:\Users\valen\Desktop\sd-scripts-main\kohya_ss> python -m pip install --upgrade pip
  50. Collecting pip
  51. Using cached https://files.pythonhosted.org/packages/09/bd/2410905c76ee14c62baf69e3f4aa780226c1bbfc9485731ad018e35b0cb5/pip-22.3.1-py3-none-any.whl
  52. Installing collected packages: pip
  53. Found existing installation: pip 19.2.3
  54. Uninstalling pip-19.2.3:
  55. Successfully uninstalled pip-19.2.3
  56. Successfully installed pip-22.3.1
  57. (venv) PS C:\Users\valen\Desktop\sd-scripts-main\kohya_ss> pip install --upgrade -r requirements.txt
  58. Processing c:\users\valen\desktop\sd-scripts-main\kohya_ss
  59. Preparing metadata (setup.py) ... done
  60. Collecting accelerate==0.15.0
  61. Using cached accelerate-0.15.0-py3-none-any.whl (191 kB)
  62. Collecting transformers==4.25.1
  63. Using cached transformers-4.25.1-py3-none-any.whl (5.8 MB)
  64. Collecting ftfy
  65. Using cached ftfy-6.1.1-py3-none-any.whl (53 kB)
  66. Collecting albumentations
  67. Using cached albumentations-1.3.0-py3-none-any.whl (123 kB)
  68. Collecting opencv-python
  69. Using cached opencv_python-4.7.0.68-cp37-abi3-win_amd64.whl (38.2 MB)
  70. Collecting einops
  71. Using cached einops-0.6.0-py3-none-any.whl (41 kB)
  72. Collecting diffusers[torch]==0.10.2
  73. Using cached diffusers-0.10.2-py3-none-any.whl (503 kB)
  74. Collecting pytorch_lightning
  75. Using cached pytorch_lightning-1.8.6-py3-none-any.whl (800 kB)
  76. Collecting bitsandbytes==0.35.0
  77. Using cached bitsandbytes-0.35.0-py3-none-any.whl (62.5 MB)
  78. Collecting tensorboard
  79. Using cached tensorboard-2.11.2-py3-none-any.whl (6.0 MB)
  80. Collecting safetensors==0.2.6
  81. Using cached safetensors-0.2.6-cp38-cp38-win_amd64.whl (268 kB)
  82. Collecting gradio==3.15.0
  83. Using cached gradio-3.15.0-py3-none-any.whl (13.8 MB)
  84. Collecting altair
  85. Using cached altair-4.2.0-py3-none-any.whl (812 kB)
  86. Collecting easygui
  87. Using cached easygui-0.98.3-py2.py3-none-any.whl (92 kB)
  88. Requirement already satisfied: requests in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from -r requirements.txt (line 16)) (2.28.2)
  89. Collecting timm
  90. Downloading timm-0.6.12-py3-none-any.whl (549 kB)
  91. ---------------------------------------- 549.1/549.1 kB 4.3 MB/s eta 0:00:00
  92. Collecting fairscale
  93. Downloading fairscale-0.4.13.tar.gz (266 kB)
  94. ---------------------------------------- 266.3/266.3 kB 3.3 MB/s eta 0:00:00
  95. Installing build dependencies ... done
  96. Getting requirements to build wheel ... done
  97. Installing backend dependencies ... done
  98. Preparing metadata (pyproject.toml) ... done
  99. Collecting tensorflow<2.11
  100. Using cached tensorflow-2.10.1-cp38-cp38-win_amd64.whl (455.9 MB)
  101. Collecting huggingface-hub
  102. Using cached huggingface_hub-0.11.1-py3-none-any.whl (182 kB)
  103. Collecting pyyaml
  104. Using cached PyYAML-6.0-cp38-cp38-win_amd64.whl (155 kB)
  105. Requirement already satisfied: torch>=1.4.0 in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from accelerate==0.15.0->-r requirements.txt (line 1)) (1.12.1+cu116)
  106. Collecting psutil
  107. Using cached psutil-5.9.4-cp36-abi3-win_amd64.whl (252 kB)
  108. Collecting packaging>=20.0
  109. Using cached packaging-23.0-py3-none-any.whl (42 kB)
  110. Requirement already satisfied: numpy>=1.17 in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from accelerate==0.15.0->-r requirements.txt (line 1)) (1.24.1)
  111. Collecting tqdm>=4.27
  112. Using cached tqdm-4.64.1-py2.py3-none-any.whl (78 kB)
  113. Collecting tokenizers!=0.11.3,<0.14,>=0.11.1
  114. Using cached tokenizers-0.13.2-cp38-cp38-win_amd64.whl (3.3 MB)
  115. Collecting regex!=2019.12.17
  116. Using cached regex-2022.10.31-cp38-cp38-win_amd64.whl (267 kB)
  117. Collecting filelock
  118. Using cached filelock-3.9.0-py3-none-any.whl (9.7 kB)
  119. Collecting importlib-metadata
  120. Using cached importlib_metadata-6.0.0-py3-none-any.whl (21 kB)
  121. Requirement already satisfied: Pillow in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from diffusers[torch]==0.10.2->-r requirements.txt (line 7)) (9.4.0)
  122. Collecting markdown-it-py[linkify,plugins]
  123. Using cached markdown_it_py-2.1.0-py3-none-any.whl (84 kB)
  124. Collecting pydantic
  125. Using cached pydantic-1.10.4-cp38-cp38-win_amd64.whl (2.2 MB)
  126. Collecting httpx
  127. Using cached httpx-0.23.3-py3-none-any.whl (71 kB)
  128. Collecting matplotlib
  129. Using cached matplotlib-3.6.3-cp38-cp38-win_amd64.whl (7.2 MB)
  130. Collecting fsspec
  131. Using cached fsspec-2022.11.0-py3-none-any.whl (139 kB)
  132. Collecting orjson
  133. Using cached orjson-3.8.5-cp38-none-win_amd64.whl (202 kB)
  134. Collecting pandas
  135. Using cached pandas-1.5.2-cp38-cp38-win_amd64.whl (11.0 MB)
  136. Collecting python-multipart
  137. Using cached python_multipart-0.0.5-py3-none-any.whl
  138. Collecting uvicorn
  139. Using cached uvicorn-0.20.0-py3-none-any.whl (56 kB)
  140. Collecting ffmpy
  141. Using cached ffmpy-0.3.0-py3-none-any.whl
  142. Collecting pycryptodome
  143. Using cached pycryptodome-3.16.0-cp35-abi3-win_amd64.whl (1.7 MB)
  144. Collecting websockets>=10.0
  145. Using cached websockets-10.4-cp38-cp38-win_amd64.whl (101 kB)
  146. Collecting markupsafe
  147. Using cached MarkupSafe-2.1.1-cp38-cp38-win_amd64.whl (17 kB)
  148. Collecting fastapi
  149. Using cached fastapi-0.89.1-py3-none-any.whl (55 kB)
  150. Collecting pydub
  151. Using cached pydub-0.25.1-py2.py3-none-any.whl (32 kB)
  152. Collecting jinja2
  153. Using cached Jinja2-3.1.2-py3-none-any.whl (133 kB)
  154. Collecting aiohttp
  155. Using cached aiohttp-3.8.3-cp38-cp38-win_amd64.whl (324 kB)
  156. Collecting wcwidth>=0.2.5
  157. Using cached wcwidth-0.2.6-py2.py3-none-any.whl
  158. Collecting scipy
  159. Using cached scipy-1.10.0-cp38-cp38-win_amd64.whl (42.2 MB)
  160. Collecting qudida>=0.0.4
  161. Using cached qudida-0.0.4-py3-none-any.whl (3.5 kB)
  162. Collecting scikit-image>=0.16.1
  163. Using cached scikit_image-0.19.3-cp38-cp38-win_amd64.whl (12.2 MB)
  164. Collecting opencv-python-headless>=4.1.1
  165. Using cached opencv_python_headless-4.7.0.68-cp37-abi3-win_amd64.whl (38.1 MB)
  166. Requirement already satisfied: typing-extensions>=4.0.0 in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from pytorch_lightning->-r requirements.txt (line 8)) (4.4.0)
  167. Collecting tensorboardX>=2.2
  168. Using cached tensorboardX-2.5.1-py2.py3-none-any.whl (125 kB)
  169. Collecting torchmetrics>=0.7.0
  170. Using cached torchmetrics-0.11.0-py3-none-any.whl (512 kB)
  171. Collecting lightning-utilities!=0.4.0,>=0.3.0
  172. Using cached lightning_utilities-0.5.0-py3-none-any.whl (18 kB)
  173. Collecting tensorboard-data-server<0.7.0,>=0.6.0
  174. Using cached tensorboard_data_server-0.6.1-py3-none-any.whl (2.4 kB)
  175. Requirement already satisfied: wheel>=0.26 in c:\users\valen\appdata\local\programs\python\python38\lib\site-packages (from tensorboard->-r requirements.txt (line 10)) (0.35.1)
  176. Collecting markdown>=2.6.8
  177. Using cached Markdown-3.4.1-py3-none-any.whl (93 kB)
  178. Collecting google-auth-oauthlib<0.5,>=0.4.1
  179. Using cached google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)
  180. Collecting absl-py>=0.4
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  182. Collecting tensorboard-plugin-wit>=1.6.0
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  184. Collecting google-auth<3,>=1.6.3
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  186. Collecting grpcio>=1.24.3
  187. Using cached grpcio-1.51.1-cp38-cp38-win_amd64.whl (3.7 MB)
  188. Collecting protobuf<4,>=3.9.2
  189. Using cached protobuf-3.20.3-cp38-cp38-win_amd64.whl (904 kB)
  190. Collecting werkzeug>=1.0.1
  191. Using cached Werkzeug-2.2.2-py3-none-any.whl (232 kB)
  192. Requirement already satisfied: setuptools>=41.0.0 in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from tensorboard->-r requirements.txt (line 10)) (41.2.0)
  193. Collecting toolz
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  197. Collecting entrypoints
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  199. Requirement already satisfied: idna<4,>=2.5 in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from requests->-r requirements.txt (line 16)) (3.4)
  200. Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from requests->-r requirements.txt (line 16)) (1.26.14)
  201. Requirement already satisfied: charset-normalizer<4,>=2 in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from requests->-r requirements.txt (line 16)) (3.0.1)
  202. Requirement already satisfied: certifi>=2017.4.17 in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from requests->-r requirements.txt (line 16)) (2022.12.7)
  203. Requirement already satisfied: torchvision in c:\users\valen\desktop\sd-scripts-main\kohya_ss\venv\lib\site-packages (from timm->-r requirements.txt (line 17)) (0.13.1+cu116)
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  222. Collecting wrapt>=1.11.0
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  285. Using cached anyio-3.6.2-py3-none-any.whl (80 kB)
  286. Collecting httpcore<0.17.0,>=0.15.0
  287. Using cached httpcore-0.16.3-py3-none-any.whl (69 kB)
  288. Collecting sniffio
  289. Using cached sniffio-1.3.0-py3-none-any.whl (10 kB)
  290. Collecting rfc3986[idna2008]<2,>=1.3
  291. Using cached rfc3986-1.5.0-py2.py3-none-any.whl (31 kB)
  292. Collecting mdurl~=0.1
  293. Using cached mdurl-0.1.2-py3-none-any.whl (10.0 kB)
  294. Collecting mdit-py-plugins
  295. Using cached mdit_py_plugins-0.3.3-py3-none-any.whl (50 kB)
  296. Collecting linkify-it-py~=1.0
  297. Using cached linkify_it_py-1.0.3-py3-none-any.whl (19 kB)
  298. Collecting contourpy>=1.0.1
  299. Using cached contourpy-1.0.7-cp38-cp38-win_amd64.whl (162 kB)
  300. Collecting pyparsing>=2.2.1
  301. Using cached pyparsing-3.0.9-py3-none-any.whl (98 kB)
  302. Collecting cycler>=0.10
  303. Using cached cycler-0.11.0-py3-none-any.whl (6.4 kB)
  304. Collecting kiwisolver>=1.0.1
  305. Using cached kiwisolver-1.4.4-cp38-cp38-win_amd64.whl (55 kB)
  306. Collecting fonttools>=4.22.0
  307. Using cached fonttools-4.38.0-py3-none-any.whl (965 kB)
  308. Collecting click>=7.0
  309. Using cached click-8.1.3-py3-none-any.whl (96 kB)
  310. Collecting h11>=0.8
  311. Using cached h11-0.14.0-py3-none-any.whl (58 kB)
  312. Collecting uc-micro-py
  313. Using cached uc_micro_py-1.0.1-py3-none-any.whl (6.2 kB)
  314. Collecting pyasn1<0.5.0,>=0.4.6
  315. Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
  316. Collecting oauthlib>=3.0.0
  317. Using cached oauthlib-3.2.2-py3-none-any.whl (151 kB)
  318. Collecting joblib>=1.1.1
  319. Using cached joblib-1.2.0-py3-none-any.whl (297 kB)
  320. Collecting threadpoolctl>=2.0.0
  321. Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB)
  322. Building wheels for collected packages: fairscale, library
  323. Building wheel for fairscale (pyproject.toml) ... done
  324. Created wheel for fairscale: filename=fairscale-0.4.13-py3-none-any.whl size=332124 sha256=b0ab714af39c9eb58cba7a06ec090d7648904fcfe06a6302e08d40d5cbaa29a5
  325. Stored in directory: c:\users\valen\appdata\local\pip\cache\wheels\09\e2\3e\a2618097f89f3d6909aa29512a3a70b6f5ae412be32a3067f5
  326. Building wheel for library (setup.py) ... done
  327. Created wheel for library: filename=library-1.0.1-py3-none-any.whl size=43290 sha256=14c6864cebc9e1b3ef377c22859ccf8c6731c89daf68d68f72ba83b384d70f07
  328. Stored in directory: C:\Users\valen\AppData\Local\Temp\pip-ephem-wheel-cache-oy84koju\wheels\db\4a\55\30e06f47b6c28531fa698310aea53c99c8610bc0784afc64dd
  329. Successfully built fairscale library
  330. Installing collected packages: wcwidth, tokenizers, tensorboard-plugin-wit, safetensors, rfc3986, pytz, pydub, pyasn1, library, libclang, keras, flatbuffers, ffmpy, easygui, bitsandbytes, zipp, wrapt, websockets, uc-micro-py, toolz, tifffile, threadpoolctl, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, sniffio, six, scipy, rsa, regex, pyyaml, PyWavelets, pyrsistent, pyparsing, pydantic, pycryptodome, pyasn1-modules, psutil, protobuf, pkgutil-resolve-name, packaging, orjson, opt-einsum, opencv-python-headless, opencv-python, oauthlib, networkx, multidict, mdurl, markupsafe, kiwisolver, joblib, imageio, h5py, h11, grpcio, gast, ftfy, fsspec, frozenlist, fonttools, filelock, entrypoints, einops, cycler, contourpy, colorama, charset-normalizer, cachetools, attrs, async-timeout, absl-py, yarl, werkzeug, tqdm, torchmetrics, tensorboardX, scikit-learn, scikit-image, python-multipart, python-dateutil, markdown-it-py, linkify-it-py, lightning-utilities, keras-preprocessing, jinja2, importlib-resources, importlib-metadata, google-pasta, google-auth, fairscale, click, astunparse, anyio, aiosignal, accelerate, uvicorn, starlette, requests-oauthlib, qudida, pandas, mdit-py-plugins, matplotlib, markdown, jsonschema, huggingface-hub, httpcore, aiohttp, transformers, timm, httpx, google-auth-oauthlib, fastapi, diffusers, altair, albumentations, tensorboard, pytorch_lightning, gradio, tensorflow
  331. Attempting uninstall: charset-normalizer
  332. Found existing installation: charset-normalizer 3.0.1
  333. Uninstalling charset-normalizer-3.0.1:
  334. Successfully uninstalled charset-normalizer-3.0.1
  335. Successfully installed PyWavelets-1.4.1 absl-py-1.4.0 accelerate-0.15.0 aiohttp-3.8.3 aiosignal-1.3.1 albumentations-1.3.0 altair-4.2.0 anyio-3.6.2 astunparse-1.6.3 async-timeout-4.0.2 attrs-22.2.0 bitsandbytes-0.35.0 cachetools-5.2.1 charset-normalizer-2.1.1 click-8.1.3 colorama-0.4.6 contourpy-1.0.7 cycler-0.11.0 diffusers-0.10.2 easygui-0.98.3 einops-0.6.0 entrypoints-0.4 fairscale-0.4.13 fastapi-0.89.1 ffmpy-0.3.0 filelock-3.9.0 flatbuffers-23.1.4 fonttools-4.38.0 frozenlist-1.3.3 fsspec-2022.11.0 ftfy-6.1.1 gast-0.4.0 google-auth-2.16.0 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 gradio-3.15.0 grpcio-1.51.1 h11-0.14.0 h5py-3.7.0 httpcore-0.16.3 httpx-0.23.3 huggingface-hub-0.11.1 imageio-2.24.0 importlib-metadata-6.0.0 importlib-resources-5.10.2 jinja2-3.1.2 joblib-1.2.0 jsonschema-4.17.3 keras-2.10.0 keras-preprocessing-1.1.2 kiwisolver-1.4.4 libclang-15.0.6.1 library-1.0.1 lightning-utilities-0.5.0 linkify-it-py-1.0.3 markdown-3.4.1 markdown-it-py-2.1.0 markupsafe-2.1.1 matplotlib-3.6.3 mdit-py-plugins-0.3.3 mdurl-0.1.2 multidict-6.0.4 networkx-3.0 oauthlib-3.2.2 opencv-python-4.7.0.68 opencv-python-headless-4.7.0.68 opt-einsum-3.3.0 orjson-3.8.5 packaging-23.0 pandas-1.5.2 pkgutil-resolve-name-1.3.10 protobuf-3.19.6 psutil-5.9.4 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycryptodome-3.16.0 pydantic-1.10.4 pydub-0.25.1 pyparsing-3.0.9 pyrsistent-0.19.3 python-dateutil-2.8.2 python-multipart-0.0.5 pytorch_lightning-1.8.6 pytz-2022.7.1 pyyaml-6.0 qudida-0.0.4 regex-2022.10.31 requests-oauthlib-1.3.1 rfc3986-1.5.0 rsa-4.9 safetensors-0.2.6 scikit-image-0.19.3 scikit-learn-1.2.0 scipy-1.10.0 six-1.16.0 sniffio-1.3.0 starlette-0.22.0 tensorboard-2.10.1 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorboardX-2.5.1 tensorflow-2.10.1 tensorflow-estimator-2.10.0 tensorflow-io-gcs-filesystem-0.29.0 termcolor-2.2.0 threadpoolctl-3.1.0 tifffile-2022.10.10 timm-0.6.12 tokenizers-0.13.2 toolz-0.12.0 torchmetrics-0.11.0 tqdm-4.64.1 transformers-4.25.1 uc-micro-py-1.0.1 uvicorn-0.20.0 wcwidth-0.2.6 websockets-10.4 werkzeug-2.2.2 wrapt-1.14.1 yarl-1.8.2 zipp-3.11.0
  336. (venv) PS C:\Users\valen\Desktop\sd-scripts-main\kohya_ss> pip install -U -I --no-deps https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl
  337. ERROR: xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl is not a supported wheel on this platform.
  338. (venv) PS C:\Users\valen\Desktop\sd-scripts-main\kohya_ss>
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